EP2586018B1 - A multi-sense environmental monitoring device and method - Google Patents

A multi-sense environmental monitoring device and method Download PDF

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EP2586018B1
EP2586018B1 EP11744123.8A EP11744123A EP2586018B1 EP 2586018 B1 EP2586018 B1 EP 2586018B1 EP 11744123 A EP11744123 A EP 11744123A EP 2586018 B1 EP2586018 B1 EP 2586018B1
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Prior art keywords
sensors
sensor
substance
group
monitoring device
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German (de)
French (fr)
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EP2586018A1 (en
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Raghu Arunachalam
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Industrial Scientific Corp
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Industrial Scientific Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0062General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
    • G01N33/0063General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0006Calibrating gas analysers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/12Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
    • G08B21/14Toxic gas alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/12Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
    • G08B21/16Combustible gas alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/16Security signalling or alarm systems, e.g. redundant systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18Prevention or correction of operating errors
    • G08B29/20Calibration, including self-calibrating arrangements
    • G08B29/24Self-calibration, e.g. compensating for environmental drift or ageing of components
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18Prevention or correction of operating errors
    • G08B29/20Calibration, including self-calibrating arrangements
    • G08B29/24Self-calibration, e.g. compensating for environmental drift or ageing of components
    • G08B29/26Self-calibration, e.g. compensating for environmental drift or ageing of components by updating and storing reference thresholds
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B5/00Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
    • G08B5/22Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission

Definitions

  • Embodiments of the present invention generally relate to environmental monitoring devices.
  • Fixed point monitoring devices are typically used around potential hazard locations such as confined spaces to warn workers of the environment before they enter.
  • Portable monitoring devices are often used for personal protection. These monitoring devices may have a single sensor to monitor one specific substance or multiple sensors (typically two to six) each monitoring a distinct substance.
  • a fixed bump and calibration policy does not take into account the actual state of the sensors or the environmental monitoring device.
  • Such a fixed policy (bump test every day and calibrate every thirty days) by its very nature is a compromise that is too stringent in many cases and too liberal in many others.
  • Threshold limit values namely the maximum exposure of a hazardous substance repeatedly over time which causes no adverse health effects in most people is constantly being reduced by regulatory authorities as scientific understanding and evidence grows and we accumulate more experience. Often these reductions are quite dramatic as in the case of the recent (February 2010) reduction recommended by the American Congress of Governmental Industrial Hygienists (ACGIH) for H2S exposure.
  • the ACGIH reduced the TLV for H2S from a time weighted average (TWA) of 10ppm to 1 ppm TWA averaged over eight hours.
  • TWA time weighted average
  • the effect of such reductions puts a premium on accuracy of measurements.
  • Current practice of a fixed calibration policy such as calibrate every thirty days, may not be enough to guarantee the level of accuracy to meet the more stringent emerging TLV's. While a blanket reduction in the frequency of the calibration interval, i.e. from thirty days, will help to improve accuracy, it would add significant cost to the use and maintenance of the environmental monitoring devices.
  • Prior art monitoring devices for monitoring substances are disclosed by XP007919417, XP007919416, US 2005/252980 A1 , WO 2008/111755 A1 and US 2003/067393 .
  • inventions of the present invention generally pertain to a monitoring device having at least two sensors for each substance to be detected, a display, a processing unit, and an alarm.
  • the sensors may be positioned on more than one plane or surface of the device.
  • the processing unit may auto or self calibrate the sensors.
  • Another embodiment relates to a network of monitoring devices.
  • Other embodiments pertain to methods of monitoring a substance with a monitoring device having at least two sensors for that substance and auto or self calibrating the sensors.
  • Various embodiments of the present invention pertain to a monitoring device and methods used for environmental monitoring of substances, such as, for example and without limitation, gases, liquids, nuclear radiation, etc.
  • the monitoring device 90 has at least two sensors, 200a and 200b, which detect the same substance.
  • the sensors may be positioned in more than one plane or surface of the device 90.
  • the device 90 also has a display 202; a user interface 102, such as, for example and without limitation, at least one key or key pad, button, or touch screen, for control and data entry; an alarm 203, shown in Figures 1C and ID, such as, for example and without limitation, audio, visual, or vibration; and a housing 104.
  • the monitoring device 90 may have a user panic button 106, shown in Figures 1A and 1B , that allows the user to trigger an alarm mechanism.
  • sensor 200a and 200b are on opposite sides of the device 90.
  • sensor 200a is on the front of the device 90 and sensor 200b on the top.
  • the device 90 has three sensors, 200a-c, sensing the same substance and positioned in different planes or surfaces of the device 90. The position of the sensors 200 in different and multiple planes greatly reduces the likelihood of more than one sensor failing, for example by being clogged by debris from the device 90 being dropped.
  • the monitoring device 90 may have more than one sensor 200 for each substance to be detected, i.e. the device 90 may detect more than one substance.
  • the sensors 200 for each substance may be positioned on more than one plane or surface of the device 90.
  • the device 90 may have two sensors 200a and 200b for H2S positioned on different surfaces or planes, e.g. one on the top and one on the side, of the device 90 and two sensors 200c and 200d for oxygen positioned on different surfaces or planes of the device 90, e.g. one on top and one on the side.
  • the monitoring device 90 has a plurality of sensors 200a-n that detect the same substance.
  • One benefit of using more than one sensor 200 for each substance to be detected is reduction in the frequency of bump testing and calibration of the monitoring devices.
  • monitoring device types typically used for gas detection have been found to fail at a rate of 0.3% a day based on field analysis data and thus daily bump tests have been mandated; however, equivalent safety may be gained with two sensors by bump testing every week, thereby reducing bump testing by seven fold.
  • the monitoring device 90 has a processing unit 201; a plurality of sensors 200a-n that sense the same substance, such as, for example and without limitation, a gas; a display 202; an alarm 203 that would generate an alarm, for example and without limitation, an audio, visual, and/or vibratory alarm; and a memory 204 to store, for example and without limitation, historic sensor and calibration/bump test data.
  • the processing unit 201 interfaces with the sensors 200a-n and determines the actual reading to be displayed.
  • the actual reading may be, for example and without limitation, the maximum, minimum, arithmetic, mean, median, or mode of the sensor 200a-n readings.
  • the actual reading may be based on artificial intelligence (AI) logic.
  • AI artificial intelligence
  • the AI logic mechanism takes into account, for example and without limitation, the readings from the plurality of sensors 200a-n, historic sensor performance data in the memory 204, span reserve of the sensor 200, gain of the sensor 200, temperature, etc., to determine the actual reading.
  • the processing unit may display possible actions that need to be taken based on the actual reading derived, for example and without limitation, activate the alarm, request calibration by user, indicate on the display that the sensors are not functioning properly, indicate the current reading of gas or other substance in the environment, auto calibrate sensors that are out of calibration, etc.
  • One example of the artificial intelligence logic method would be for the greater readings of the two sensors 200a and 200b or the greater readings of a multitude of sensors 200a-n to be compared with a threshold amount, and if the sensor reading crosses the threshold amount, an alarm mechanism would be generated.
  • Another example of AI logic entails biasing the comparison between the sensor readings and the threshold amount by weights that are assigned based on the current reliability of the sensors 200a-n, i.e. a weighted average. These weights can be learned, for example and without limitation, from historic calibration and bump test performance. Standard machine learning, AI, and statistical techniques can be used for the learning purposes. As an example, reliability of the sensor 200 may be gauged from the span reserve or alternatively the gain of the sensor 200.
  • Weights may be assigned appropriately to bias the aggregate substance concentration reading (or displayed reading) towards the more reliable sensors 200a-n.
  • R to denote the displayed reading
  • R i to denote the reading sensed by sensor I
  • w i to denote the weight associated by sensor i:
  • the weight w i (0 ⁇ w ⁇ 1) is proportional to span reading of sensor i or inversely proportional to the gain G i
  • w i can be derived from historical data analysis of the relationship between the gain w i and span reserve or gain G i . Historical data of bump tests and calibration tests performed in the field, for example and without limitation, can be used to derive this data.
  • the monitoring device 90 would generate an alarm or visual indication in the display 202 requesting a calibration by docking on a docking station or manually be performed on the device 90. Further, if the difference in readings is greater than some higher threshold value t f , the monitoring device 190 would generate an alarm and or indicate on the display 202 a message indicating a sensor failure.
  • the minimum reading of a multitude of sensors 200a-n may be used to trigger an alarm to indicate a deficient environment.
  • the monitoring device 90 has an orientation sensor, such as, for example and without limitation, an accelerometer, that would allow the artificial intelligence logic to factor in relative sensor orientation to account for the fact that heavier than air gases, for example, would affect sensors in a lower position more than on a higher position and lighter than air sensors would.
  • the degree of adjustment to the reading based on orientation can be learned, for example and without limitation, from the calibration data, field testing, distance between sensors, etc. and used to adjust readings from multiple positions on the device 90 to give the most accurate reading at the desired location, such as the breathing area of a user or a specific location in a defined space using the environmental monitoring device 90 as a personnel protection device.
  • FIG. 4A Another embodiment pertains to a network 500 having the plurality of sensors 200a-n that detect a single substance housed in separate enclosures, placed in the vicinity of one another, e.g. from inches to feet depending on the area to be monitored, and communicate with one another directly and/or the central processing unit through a wireless or wired connection.
  • Each of the housings 104 may have a separate processing unit 201, memory 204, and AI processing logic, as shown in Figure 4B .
  • sensor units would share a central processing unit 201 and memory 204, as shown in Figure 4A .
  • the processing unit Based on the plurality of sensor readings 200a-n, the processing unit, using standard AI and machine learning techniques, etc., will adjust the gain of the sensors 200a-n to match closer to the majority of sensors 200a-n for each substance, i.e. minimize variance among the sensors.
  • the variance may be, for example and without limitation, a statistical variance, other variance metrics such as Euclidean distance, or calculated from the average, weighted average, mean, median, etc. readings of the sensors. This would allow auto or self calibration of outlying sensors 200a-n without the use of calibration gas using a manual method or a docking station.
  • n sensors 200a-n sensing a particular gas, such as H2S are considered and R i is the reading that represents the concentration of H2S sensed by sensor i and M is the median value of the reading among the n sensors, then the gain, given by G i, , of each sensor can be adjusted so that the reading R i moves towards the median value by a small amount given by weight w(0 ⁇ w ⁇ 1).
  • a single gas monitor that is used as a small portable device worn on the person and used primarily as personal protection equipment may be used to detect the gases within the breathing zone of the bearer of the device.
  • the gas monitor is designed to monitor one of the following gases: Measuring Gas Symbol Range Increments Ranges: Carbon Monoxide CO 0-1,500 1 ppm Hydrogen Sulfide H 2 S 0-500 ppm 0.1 ppm Oxygen O 2 0-30% of volume 0.1% Nitrogen Dioxide NO 2 0-150 ppm 0.1 ppm Sulfur Dioxide SO 2 0-150 ppm 0.1 ppm
  • the sensors are placed on two separate planes of the monitoring device, for example as depicted in Figures 1A-C .
  • an auto calibrate function based on gain as described below is performed.
  • the auto calibration may be done, based on a user defined setting in the monitoring device, without further input from the user of the monitoring device, and/or the user will be informed that the gas monitor has detected an anomaly and requests permission to auto calibrate.

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Description

    FIELD OF THE INVENTION
  • Embodiments of the present invention generally relate to environmental monitoring devices.
  • BACKGROUND OF THE INVENTION
  • In a number of industrial work environments workers are at risk of being exposed to a variety of hazardous environmental substances such as toxic or highly combustible gases, oxygen depleted environments, or radiation, etc. that pose a serious threat to worker safety. In order to keep workers safe, specialized environmental monitoring devices are used to alert workers of dangerous changes in their immediate environment.
  • Current practice involves using fixed point monitoring devices that monitor the environment around where they are deployed or portable monitoring devices that are carried by the workers to monitor their immediate vicinity. Fixed point monitoring devices are typically used around potential hazard locations such as confined spaces to warn workers of the environment before they enter. Portable monitoring devices are often used for personal protection. These monitoring devices may have a single sensor to monitor one specific substance or multiple sensors (typically two to six) each monitoring a distinct substance.
  • Given that these environmental monitoring devices are life critical, it is important the device functions properly and accurately. Current practice involves periodic bump testing and calibration of monitoring devices to guarantee proper functioning. Bump tests involve exposing the monitoring device to a measured quantity of gas and verifying that the device responds as designed, i.e. it senses the gas and goes into alarm. Calibration involves exposing the device to a measured quantity of gas and adjusting the gain of the sensors so it reads the quantity of gas accurately. The purpose of calibration is to maintain the accuracy of the monitoring device over time.
  • Current best practice followed by leading manufacturers of environmental monitors recommends bump testing the monitoring device before every days work and calibrating the device once at least every thirty days. While a number of manufacturers sell automated docking stations that automatically perform calibration and bump testing when a monitoring device is docked, there are still a number of disadvantages to the current practice.
  • A fixed bump and calibration policy, such as currently practiced, does not take into account the actual state of the sensors or the environmental monitoring device. Such a fixed policy (bump test every day and calibrate every thirty days) by its very nature is a compromise that is too stringent in many cases and too liberal in many others.
  • Given that the docking operation requires the user to bring the monitor to a central location, which typically is outside the work area, to perform the bump test and calibration, there is value in minimizing/optimizing this operation as much as possible without compromising safety.
  • Threshold limit values (TLV), namely the maximum exposure of a hazardous substance repeatedly over time which causes no adverse health effects in most people is constantly being reduced by regulatory authorities as scientific understanding and evidence grows and we accumulate more experience. Often these reductions are quite dramatic as in the case of the recent (February 2010) reduction recommended by the American Congress of Governmental Industrial Hygienists (ACGIH) for H2S exposure. The ACGIH reduced the TLV for H2S from a time weighted average (TWA) of 10ppm to 1 ppm TWA averaged over eight hours. The effect of such reductions puts a premium on accuracy of measurements. Current practice of a fixed calibration policy, such as calibrate every thirty days, may not be enough to guarantee the level of accuracy to meet the more stringent emerging TLV's. While a blanket reduction in the frequency of the calibration interval, i.e. from thirty days, will help to improve accuracy, it would add significant cost to the use and maintenance of the environmental monitoring devices.
  • One solution to this problem, pursued by some, is to use newer and more advanced technology sensors with a higher degree of accuracy and tolerance to drift that minimize the need for calibration and bump testing. While there certainly is value in this approach, the cost of these emerging sensor often preclude its widespread use, particularly in personal monitoring applications where a large number of these monitors need to be deployed.
  • For all the aforementioned reasons there is value in developing monitors that use current low cost sensor technologies while still meeting emerging TLV regulations and allow for a more adaptive calibration/bump policy that takes into account the state of the sensors and monitoring devices.
  • Prior art monitoring devices for monitoring substances are disclosed by XP007919417, XP007919416, US 2005/252980 A1 , WO 2008/111755 A1 and US 2003/067393 .
  • SUMMARY OF THE INVENTION
  • The invention provides a monitoring device according to claim 1 and a method for monitoring according to claim 12. In one general aspect, embodiments of the present invention generally pertain to a monitoring device having at least two sensors for each substance to be detected, a display, a processing unit, and an alarm. The sensors may be positioned on more than one plane or surface of the device. The processing unit may auto or self calibrate the sensors. Another embodiment relates to a network of monitoring devices. Other embodiments pertain to methods of monitoring a substance with a monitoring device having at least two sensors for that substance and auto or self calibrating the sensors.
  • Those and other details, objects, and advantages of the present invention will become better understood or apparent from the following description and drawings showing embodiments thereof.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The accompanying drawings illustrate examples of embodiments of the invention. In such drawings:
    • Figures 1A, 1B and 1C illustrate monitoring devices having two sensors that detect the same substance and positioned on different planes or surfaces of the device, and Figure 1D shows a monitoring device having three sensors according to various embodiments of the present invention;
    • Figure 2 shows a block diagram illustrating a few of the components of the monitoring device according to various embodiments of the present invention;
    • Figure 3 illustrates a flowchart of an example AI logic according to various embodiments of the present invention; and
    • Figure 4A illustrates a monitoring device with the plurality of sensors housed in multiple housings and connected to a central processing unit and Figure 4B illustrates a network of monitoring devices according to various embodiments of the present invention.
    DETAILED DESCRIPTION
  • Various embodiments of the present invention pertain to a monitoring device and methods used for environmental monitoring of substances, such as, for example and without limitation, gases, liquids, nuclear radiation, etc.
  • In an embodiment, as illustrated in Figures 1A-C, the monitoring device 90 has at least two sensors, 200a and 200b, which detect the same substance. The sensors may be positioned in more than one plane or surface of the device 90. The device 90 also has a display 202; a user interface 102, such as, for example and without limitation, at least one key or key pad, button, or touch screen, for control and data entry; an alarm 203, shown in Figures 1C and ID, such as, for example and without limitation, audio, visual, or vibration; and a housing 104. The monitoring device 90 may have a user panic button 106, shown in Figures 1A and 1B, that allows the user to trigger an alarm mechanism. In an example, as shown in Figures 1A and 1B, sensor 200a and 200b are on opposite sides of the device 90. In another example, as shown in Figure 1C, sensor 200a is on the front of the device 90 and sensor 200b on the top. In yet another example, as shown in Figure 1D, the device 90 has three sensors, 200a-c, sensing the same substance and positioned in different planes or surfaces of the device 90. The position of the sensors 200 in different and multiple planes greatly reduces the likelihood of more than one sensor failing, for example by being clogged by debris from the device 90 being dropped. The monitoring device 90 may have more than one sensor 200 for each substance to be detected, i.e. the device 90 may detect more than one substance. The sensors 200 for each substance may be positioned on more than one plane or surface of the device 90. For example, the device 90 may have two sensors 200a and 200b for H2S positioned on different surfaces or planes, e.g. one on the top and one on the side, of the device 90 and two sensors 200c and 200d for oxygen positioned on different surfaces or planes of the device 90, e.g. one on top and one on the side.
  • In another embodiment the monitoring device 90, as shown in Figure 2, has a plurality of sensors 200a-n that detect the same substance. One benefit of using more than one sensor 200 for each substance to be detected is reduction in the frequency of bump testing and calibration of the monitoring devices. As an example, in practice monitoring device types typically used for gas detection have been found to fail at a rate of 0.3% a day based on field analysis data and thus daily bump tests have been mandated; however, equivalent safety may be gained with two sensors by bump testing every week, thereby reducing bump testing by seven fold.
  • In further embodiments, the monitoring device 90, as shown in Figure 2, has a processing unit 201; a plurality of sensors 200a-n that sense the same substance, such as, for example and without limitation, a gas; a display 202; an alarm 203 that would generate an alarm, for example and without limitation, an audio, visual, and/or vibratory alarm; and a memory 204 to store, for example and without limitation, historic sensor and calibration/bump test data. The processing unit 201 interfaces with the sensors 200a-n and determines the actual reading to be displayed. The actual reading may be, for example and without limitation, the maximum, minimum, arithmetic, mean, median, or mode of the sensor 200a-n readings. The actual reading may be based on artificial intelligence (AI) logic. The AI logic mechanism takes into account, for example and without limitation, the readings from the plurality of sensors 200a-n, historic sensor performance data in the memory 204, span reserve of the sensor 200, gain of the sensor 200, temperature, etc., to determine the actual reading. In another example, as an alternative to the displayed actual reading being the maximum of the aggregate of the n sensors 200a-n, the displayed actual reading may be calculated as follows, where R denotes the displayed reading and Ri denotes the reading sensed by sensor i: R = i = 0 n R i k k n .
    Figure imgb0001
    Then, the processing unit may display possible actions that need to be taken based on the actual reading derived, for example and without limitation, activate the alarm, request calibration by user, indicate on the display that the sensors are not functioning properly, indicate the current reading of gas or other substance in the environment, auto calibrate sensors that are out of calibration, etc.
  • One example of the artificial intelligence logic method would be for the greater readings of the two sensors 200a and 200b or the greater readings of a multitude of sensors 200a-n to be compared with a threshold amount, and if the sensor reading crosses the threshold amount, an alarm mechanism would be generated. Another example of AI logic entails biasing the comparison between the sensor readings and the threshold amount by weights that are assigned based on the current reliability of the sensors 200a-n, i.e. a weighted average. These weights can be learned, for example and without limitation, from historic calibration and bump test performance. Standard machine learning, AI, and statistical techniques can be used for the learning purposes. As an example, reliability of the sensor 200 may be gauged from the span reserve or alternatively the gain of the sensor 200. The higher the gain or lower the span reserve, then the sensor 200 may be deemed less reliable. Weights may be assigned appropriately to bias the aggregate substance concentration reading (or displayed reading) towards the more reliable sensors 200a-n. Consider R to denote the displayed reading, Ri to denote the reading sensed by sensor I, and wi to denote the weight associated by sensor i: R = i = 1 n w i R i n
    Figure imgb0002
    where the weight wi(0 < w ≥ 1) is proportional to span reading of sensor i or inversely proportional to the gain Gi, Alternatively, wi can be derived from historical data analysis of the relationship between the gain wi and span reserve or gain Gi. Historical data of bump tests and calibration tests performed in the field, for example and without limitation, can be used to derive this data.
  • In addition, as illustrated in Figure 3, if the difference in readings between any two or more sensors 200 is greater than some threshold value tc, which could be determined in absolute terms or relative percentage terms and may vary by substance, then the monitoring device 90 would generate an alarm or visual indication in the display 202 requesting a calibration by docking on a docking station or manually be performed on the device 90. Further, if the difference in readings is greater than some higher threshold value tf, the monitoring device 190 would generate an alarm and or indicate on the display 202 a message indicating a sensor failure.
  • In some circumstances, for example and without limitation, in the case of an oxygen sensor, the minimum reading of a multitude of sensors 200a-n may be used to trigger an alarm to indicate a deficient environment.
  • The monitoring device 90 has an orientation sensor, such as, for example and without limitation, an accelerometer, that would allow the artificial intelligence logic to factor in relative sensor orientation to account for the fact that heavier than air gases, for example, would affect sensors in a lower position more than on a higher position and lighter than air sensors would. The degree of adjustment to the reading based on orientation can be learned, for example and without limitation, from the calibration data, field testing, distance between sensors, etc. and used to adjust readings from multiple positions on the device 90 to give the most accurate reading at the desired location, such as the breathing area of a user or a specific location in a defined space using the environmental monitoring device 90 as a personnel protection device.
  • Another embodiment pertains to a network 500 having the plurality of sensors 200a-n that detect a single substance housed in separate enclosures, placed in the vicinity of one another, e.g. from inches to feet depending on the area to be monitored, and communicate with one another directly and/or the central processing unit through a wireless or wired connection. See Figures 4A and 4B. Each of the housings 104 may have a separate processing unit 201, memory 204, and AI processing logic, as shown in Figure 4B. Alternatively, or in combination, sensor units would share a central processing unit 201 and memory 204, as shown in Figure 4A.
  • Based on the plurality of sensor readings 200a-n, the processing unit, using standard AI and machine learning techniques, etc., will adjust the gain of the sensors 200a-n to match closer to the majority of sensors 200a-n for each substance, i.e. minimize variance among the sensors. The variance may be, for example and without limitation, a statistical variance, other variance metrics such as Euclidean distance, or calculated from the average, weighted average, mean, median, etc. readings of the sensors. This would allow auto or self calibration of outlying sensors 200a-n without the use of calibration gas using a manual method or a docking station. In an example, if n sensors 200a-n sensing a particular gas, such as H2S, are considered and Ri is the reading that represents the concentration of H2S sensed by sensor i and M is the median value of the reading among the n sensors, then the gain, given by Gi,, of each sensor can be adjusted so that the reading Ri moves towards the median value by a small amount given by weight w(0 < w ≥ 1). For each sensor i in (1,n): G i = G i w R i M
    Figure imgb0003
    Performing such gain adjustment whenever the monitoring device 90 is exposed to a substance in the field, for example, as part of day- to-day operation will reduce the frequency of calibrations required, thus saving money both directly from the reduction in calibration consumption, such as gas, and also costs involved in taking time away to perform the calibration. Current monitoring devices that use a single gas sensor for detecting each gas type require a more frequent calibration schedule, thereby incurring significant costs.
  • While presently preferred embodiments of the invention have been shown and described, it is to be understood that the detailed embodiments and Figures are presented for elucidation and not limitation. The invention may be otherwise varied, modified or changed within the scope of the invention as defined in the appended claims.
  • EXAMPLE
  • The following discussion illustrates a non-limiting example of embodiments of the present invention.
  • A single gas monitor that is used as a small portable device worn on the person and used primarily as personal protection equipment may be used to detect the gases within the breathing zone of the bearer of the device. The gas monitor is designed to monitor one of the following gases:
    Measuring Gas Symbol Range Increments
    Ranges: Carbon Monoxide CO 0-1,500 1 ppm
    Hydrogen Sulfide H2S 0-500 ppm 0.1 ppm
    Oxygen O2 0-30% of volume 0.1%
    Nitrogen Dioxide NO2 0-150 ppm 0.1 ppm
    Sulfur Dioxide SO2 0-150 ppm 0.1 ppm
  • The sensors are placed on two separate planes of the monitoring device, for example as depicted in Figures 1A-C. The gas concentration of the reading is calculated in the following manner: reading = SensorReading 1 5 + SensorReading 2 5 2
    Figure imgb0004
  • If the reading is higher (or lower in the case of oxygen) than a user defined alarm threshold, then an audio and visual alarm is generated.
  • Further, if reading > 0.5 ∗ abs(alarmThreshold - normalReading) and if 0.3 abs sensorReading 1 sensorReading 2 max sensorReading 1 , sensorReading 2 0.5
    Figure imgb0005
    then an auto calibrate function based on gain as described below is performed. The auto calibration may be done, based on a user defined setting in the monitoring device, without further input from the user of the monitoring device, and/or the user will be informed that the gas monitor has detected an anomaly and requests permission to auto calibrate.
  • If abs sensorReading 1 sensorReading 2 max sensorReading 1 , sensorReading 2 > 0.5
    Figure imgb0006
    then a message is displayed to the user to calibrate the gas monitor immediately using a calibration gas.
  • Gain of each of the sensors is modified as follows in the auto or self calibration process: sensorGain new = sensorGain old + 0.1 max sensorReading 1 , sensorReading 2 min sensorReading 1 , SensorReading 2
    Figure imgb0007

Claims (15)

  1. A monitoring device (90) for monitoring substances comprising:
    a group of at least two sensors (200a, 200b), each of the sensors in said group separately monitoring the same substance and providing a respective output signal in response to the detection of said same substance;
    an orientation sensor that provides an orientation output signal indicating the physical orientation of the monitoring device;
    a processing unit (201) with memory (204), said processing unit being responsive to each of the respective output signals of the sensors in said group and responsive to the orientation output signal to determine a sensor orientation of each of the sensors in said group, and to determine a detection signal for said substance based on the output signals and the sensor orientations;
    a display (202) that is responsive to the detection signal of said processing unit, said display showing the detection condition for said substance in accordance with said detection signal; and
    an alarm (203) that is responsive to said processing unit, said alarm being activated at times when said detection signal deviates from a level that corresponds to a predetermined concentration of said substance.
  2. The monitoring device of claim 1, wherein at least two sensors of said group of sensors are positioned in more than one plane or surface of the device.
  3. The monitoring device of anyone of the preceding claims, further comprising a user interface (102) providing control signals to said processing unit, the user interface comprising at least one of a button, a key or a touch screen..
  4. The monitoring device of any preceding claim, wherein the processing unit determines when to automatically calibrate the sensors in said group; or when to request permission from a user to automatically calibrate said sensors.
  5. The monitoring device of any preceding claim, wherein said processing unit determines a deviation in reading between sensors and, at times when the deviation in readings between sensors exceeds a predetermined value, the processing unit causes said display to instruct the user to calibrate the monitor using a measured quantity of substance.
  6. The monitoring device of anyone of the preceding claims, wherein the sensors of said group are connected to the processing unit through a wired or wireless connection and/or one or more monitoring devices are connected in a network through a wired or wireless connection.
  7. The monitoring device of any preceding claim, wherein the alarm comprises at least one of a vibration alarm, a visual alarm, and an audio alarm.
  8. The monitoring device of any preceding claim, wherein said processing unit determines said detection signal in accordance with a process selected from the group comprising: maximum, minimum, arithmetic, means, median, or artificial intelligence logic processes.
  9. The monitoring device of claim 8, wherein said processing unit further determines said detection signal in response to at least one factor selected from the group including historic sensor data, span reserve of the respective sensors, gain of the respect sensors, or ambient temperature.
  10. The monitoring device of any preceding claim, wherein said processing unit determines said detection signal according to the relationship: R = i = 0 n R i k k n
    Figure imgb0008
    k =a value less than equal to 1,
    n = the number of sensors that are independently sensing the given substance,
    Ri = the substance concentration that is detected by the i sensor,
    R = the substance concentration determined by the processing unit.
  11. The monitoring device of any preceding claim, wherein the processing unit determines a difference between signals from two or more sensors of said group and generate a sensor fail signal responsive to the difference being above a threshold amount to indicate that a deviating sensor has failed.
  12. A method for monitoring substances comprising:
    monitoring a substance using a monitoring device (90) comprising a group of at least two sensors (200a, 200b), wherein each of the sensors in said group separately monitors said same substance and provides a respective output signal in response to detection of said same substance;
    providing by an orientation sensor an orientation output signal indicating a physical orientation of the monitoring device;
    receiving the orientation output signal and, in response, determining a sensor orientation of each of the sensors in said group;
    receiving the respective output signals of the sensors in said group, and in response, determining a detection signal for said same substance based on the received respective output signals and the determined sensor orientations;
    displaying on a display (202) a detection condition for the substance in accordance with said detection signal;
    activating an alarm (203) at times when said detection signal deviates from a level that corresponds to a predetermined concentration of said substance.
  13. The method of claim 12, wherein the step of determining a detection signal for said same substance comprises: determining the maximum reading detected by the respective sensors for the substance; or determining the minimum reading detected by the respective sensors for the substance; or determining the average or weighted average of the respective readings detected by the sensors of said group.
  14. The method of any of claims 12 or 13, further comprising determining if the respective output signal of one sensor of said group deviates by a threshold amount compared to the other sensors in said group, and at times when said concentration detected by said one sensor deviates by a threshold amount from the concentration of at least one other sensor in said group, then generating a user instruction to calibrate said one sensor with a measured quantity of the substance that is monitored by the group of sensors, or generating a user instruction to automatically calibrate said one sensor, automatically calibrating said one sensor, or generating a signal that indicates sensor failure.
  15. The method of claim 14, wherein the step of calibrating a sensor comprises adjusting the gain of sensors in said group that deviate by a threshold amount to minimize variance among the sensors for the substance.
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Families Citing this family (52)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2519936B1 (en) * 2009-12-29 2023-03-01 The Regents of The University of California Multimodal climate sensor network
US9000910B2 (en) 2010-06-25 2015-04-07 Industrial Scientific Corporation Multi-sense environmental monitoring device and method
KR101978239B1 (en) 2012-06-22 2019-05-14 삼성전자주식회사 Method for editing contents and an electronic device thereof
WO2014055147A2 (en) 2012-10-02 2014-04-10 Industrial Scientific Corporation Alarm enhancing protective cover for safety instruments with optional calibration chamber
US20140210639A1 (en) * 2013-01-29 2014-07-31 James Skourlis Central alarm (ca) unit in a gas monitoring system including gas sensors and gas sensor controllers
CN103914036A (en) * 2014-03-12 2014-07-09 智联通建筑科技(北京)有限公司 Indoor environment monitoring equipment
JP2016162249A (en) * 2015-03-03 2016-09-05 住友電気工業株式会社 Sensor management device, sensor, monitoring system, sensor management method, sensor management program, monitoring method and monitoring program
CN105158304A (en) * 2015-06-23 2015-12-16 中山欧麦克仪器设备有限公司 Hydrogen sulfide gas detector
TWI536026B (en) 2015-06-25 2016-06-01 財團法人工業技術研究院 Apparatus, system and method for wireless batch calibration
CN105352540A (en) * 2015-08-18 2016-02-24 周鑫 Indoor environment monitoring system and monitoring method thereof
CN105352538A (en) * 2015-08-18 2016-02-24 周鑫 Environment monitoring instrument and environment monitoring method
CN105352539A (en) * 2015-08-18 2016-02-24 周鑫 Device of environment monitoring in building and monitoring method thereof
CN105352537A (en) * 2015-08-18 2016-02-24 周鑫 Environmental monitoring system and environmental monitoring method
CN105372721A (en) * 2015-08-18 2016-03-02 周鑫 Portable environment monitoring device and monitoring method thereof
CN105185047A (en) * 2015-08-19 2015-12-23 无锡拓能自动化科技有限公司 Integrated control siren of small gas detection system
KR102407323B1 (en) 2015-11-11 2022-06-10 삼성전자 주식회사 Electronic apparatus and method for utilizing gas sesnsors
RU171874U1 (en) * 2016-03-22 2017-06-20 Общество с ограниченной ответственностью "Научно-производственное объединение "СЕТАЛ" (ООО "НПО "СЕТАЛ") Relay protection and signaling device in electric power plants
CN105938133B (en) * 2016-04-07 2017-11-17 中国农业大学 A kind of wireless gas sensor on-line calibration method and system
WO2017184702A1 (en) 2016-04-19 2017-10-26 Industrial Scientific Corporation Worker safety system
US10533965B2 (en) 2016-04-19 2020-01-14 Industrial Scientific Corporation Combustible gas sensing element with cantilever support
CN108903384A (en) * 2016-04-27 2018-11-30 吴士妹 One kind being not easy inclined safety type sample cabinet
GB2550586A (en) * 2016-05-23 2017-11-29 A-Fax Ltd Racking protection device
GB2544575B (en) * 2016-06-27 2019-10-09 Sensyne Health Group Ltd Method and apparatus for sensing and for improving sensor accuracy
CN106019353B (en) * 2016-07-29 2020-01-17 山东省济南生态环境监测中心 Environmental radiation detection method
US10617985B2 (en) 2016-09-29 2020-04-14 Rosemount Inc. Gas sensor module with field replaceable, ingress protected, sensor filter
US10317295B2 (en) 2016-09-30 2019-06-11 Rosemount Inc. Heat flux sensor
US10957180B2 (en) * 2017-05-12 2021-03-23 Robert Levine Confined space failsafe access system
CN107340014B (en) * 2017-08-31 2020-04-21 广东美的制冷设备有限公司 Multi-sensor detection method and device and computer readable storage medium
CN107389878B (en) * 2017-08-31 2021-05-28 广东美的制冷设备有限公司 Self-checking method and device of sensor and computer readable storage medium
TW201928347A (en) * 2017-12-25 2019-07-16 研能科技股份有限公司 Method for detecting and warning of volatile organic compounds
TWI637360B (en) * 2017-12-25 2018-10-01 研能科技股份有限公司 Method for detecting and warning of volatile organic compounds
IT201800000629A1 (en) 2018-01-09 2019-07-09 St Microelectronics Srl PROCEDURE FOR DETECTING CORRESPONDING FLUID, DEVICE AND IT PRODUCT FLOWS
KR102599771B1 (en) * 2018-01-19 2023-11-09 삼성전자주식회사 Apparatus and method for determining timing of calibration for blood pressure in electronic device
RU182956U1 (en) * 2018-02-13 2018-09-06 Федеральное государственное бюджетное учреждение "4 Центральный научно-исследовательский институт" Министерства обороны Российской Федерации Signal conditioning device
US10976204B2 (en) 2018-03-07 2021-04-13 Rosemount Inc. Heat flux sensor with improved heat transfer
JP7028051B2 (en) * 2018-05-07 2022-03-02 トヨタ自動車株式会社 Diagnostic equipment, diagnostic system, and diagnostic method
US10989618B2 (en) * 2018-06-21 2021-04-27 Saudi Arabian Oil Company Industrial gas detection
CN108548855A (en) * 2018-07-11 2018-09-18 上海兆莹自控设备有限公司 Gas on-site dual sensor detecting system and its control method
US11391476B2 (en) 2018-07-23 2022-07-19 Novinium, Inc. Method of identifying burning by monitoring water level and combustion analytes
WO2020067915A1 (en) 2018-09-28 2020-04-02 Rosemount Inc. Non-invasive process fluid temperature indication with reduced error
US11231405B2 (en) 2018-10-16 2022-01-25 Novinium, Inc. Calibrationless operation method
US11054404B2 (en) * 2018-10-16 2021-07-06 Novinium, Inc. Methods of using dilution of a first type to calibrate one or more sensors
US11035770B2 (en) 2018-10-16 2021-06-15 Novinium, Inc. Methods of using component mass balance to evaluate manhole events
US11231403B2 (en) * 2018-10-16 2022-01-25 Novinium, Inc. Methods of using dilution of a second type to calibrate one or more sensors
CN109816936B (en) * 2018-12-29 2021-02-09 航天神洁(北京)科技发展有限公司 Gas safety monitoring device for hydrogen plasma coal-to-acetylene
CN109556663A (en) * 2019-01-09 2019-04-02 武汉巨正环保科技有限公司 It is a kind of with the environmental monitoring system remotely demarcated and its monitoring method
RU190478U1 (en) * 2019-02-12 2019-07-02 Федеральное государственное бюджетное учреждение "4 Центральный научно-исследовательский институт" Министерства обороны Российской Федерации Device for generating a control signal using the fault mode
US12072269B2 (en) 2019-03-29 2024-08-27 Rosemount Inc. Self-contained calibration apparatus for gas sensor
US11246187B2 (en) 2019-05-30 2022-02-08 Industrial Scientific Corporation Worker safety system with scan mode
US11725966B2 (en) 2020-09-18 2023-08-15 Rosemount Inc. Multi-stage irreversible sensor coupling
CN112489381B (en) * 2020-11-30 2022-05-03 北京航天试验技术研究所 Hydrogen leakage detection alarm and event grade estimation method
US11636752B2 (en) * 2021-04-26 2023-04-25 Rockwell Automation Technologies, Inc. Monitoring machine operation with different sensor types to identify typical operation for derivation of a signature

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030067393A1 (en) * 2001-10-05 2003-04-10 Albro Thomas G. Method and apparatus for the collection of near real time confirmation samples
WO2008111755A1 (en) * 2007-03-09 2008-09-18 Hyundai Heavy Industries Co., Ltd. Method of detecting gas in gas leakage risk area around gas storage system

Family Cites Families (179)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1797891A (en) 1928-10-17 1931-03-24 Stromberg Carlson Telephone Combined receiver and microphone
US3960495A (en) 1972-02-15 1976-06-01 Anthony Desmond Shand Tantram Detection of combustible gases
CA1164944A (en) 1980-01-02 1984-04-03 International Gas Detectors Limited Gas sensor elements and methods of manufacturing them
GB2083630B (en) 1980-09-05 1984-01-18 Nat Res Dev Catalytic combustible gas sensors
JPS57111421A (en) * 1980-12-29 1982-07-10 Fuji Photo Film Co Ltd Measuring device of multielement sensor
GB2094005B (en) 1981-02-03 1985-05-30 Coal Industry Patents Ltd Electrochemical gas sensor
GB8313846D0 (en) 1983-05-19 1983-06-22 City Tech Gas sensor
US4525872A (en) 1983-06-27 1985-06-25 Zochowski John S Amplifier
US4775083A (en) 1987-02-02 1988-10-04 Motorola, Inc. Portable radio carrying case
US5005419A (en) * 1988-06-16 1991-04-09 General Electric Company Method and apparatus for coherent imaging system
US4931780A (en) 1989-05-23 1990-06-05 Lamont David G Illuminated address identifier and alarm device
US5138559A (en) 1989-08-28 1992-08-11 The Boeing Company System and method for measuring liquid mass quantity
US4963855A (en) 1990-02-21 1990-10-16 Kobishi Electric Co., Inc. Ltd. Warning sound generating device
US5101271A (en) * 1990-03-30 1992-03-31 Hughes Aircraft Company Image restoration and faulty sensor detection and compensation system and process
US5243152A (en) 1991-04-29 1993-09-07 Magid Sidney H Sound anti-muffler for a sound generator
CN2135808Y (en) 1992-10-09 1993-06-09 姜孔儒 Multi-function telling device
US5394094A (en) 1993-05-13 1995-02-28 Industrial Scientific Corporation Portable gas sensor utilizing fault protective battery cap
US5568121A (en) 1993-05-27 1996-10-22 Lamensdorf; David M. Wireless system for sensing information at remote locations and communicating with a main monitoring center
US5493273A (en) * 1993-09-28 1996-02-20 The United States Of America As Represented By The Secretary Of The Navy System for detecting perturbations in an environment using temporal sensor data
AU1974795A (en) 1994-03-03 1995-09-18 Proxim, Inc. Frequency hopping medium access control protocol
US5479161A (en) * 1994-03-25 1995-12-26 Honeywell Inc. Automatic calibration of redundant sensors
US5464983A (en) 1994-04-05 1995-11-07 Industrial Scientific Corporation Method and apparatus for determining the concentration of a gas
GB9422334D0 (en) 1994-11-04 1994-12-21 Central Research Lab Ltd Gas sensor
GB9510454D0 (en) 1995-05-24 1995-07-19 City Tech Electrochemical gas sensor assembly
US5778062A (en) 1995-10-10 1998-07-07 Vanmoor; Arthur Voice reflector for a communication device, in particular a cellular telephone
US5662143A (en) 1996-05-16 1997-09-02 Gasonics International Modular gas box system
US7321783B2 (en) 1997-04-25 2008-01-22 Minerva Industries, Inc. Mobile entertainment and communication device
US6119186A (en) 1997-05-30 2000-09-12 Texas Instruments Incorporated Computer system with environmental manager for detecting and responding to changing environmental conditions
US5916180A (en) * 1997-10-03 1999-06-29 Uromed Corporation Calibrating pressure sensors
US5902467A (en) 1997-11-03 1999-05-11 Industrial Scientific Corporation Oxygen sensor based on a metal-air battery
US6031454A (en) * 1997-11-13 2000-02-29 Sandia Corporation Worker-specific exposure monitor and method for surveillance of workers
US6055840A (en) 1998-01-21 2000-05-02 Industrial Scientific Corporation Method and apparatus for determining concentration of a gas
US6629152B2 (en) 1998-06-29 2003-09-30 International Business Machines Corporation Message passing using shared memory of a computer
US5932176A (en) 1998-07-07 1999-08-03 Bacharach, Inc. Halogen gas detector
US6096186A (en) 1998-08-18 2000-08-01 Industrial Scientific Corporation Method for determining exhaustion of an electrochemical gas sensor
US6284545B1 (en) 1999-03-24 2001-09-04 Industrial Scientific Corporation Filter for gas sensor
US6632674B1 (en) 1999-03-31 2003-10-14 Industrial Scientific Corporation Method of testing gas detection instruments and associated apparatus
US20120176237A1 (en) 2011-01-12 2012-07-12 Joseph Akwo Tabe Homeland intelligence systems technology "h-list" and battlefield apparatus
US6165347A (en) 1999-05-12 2000-12-26 Industrial Scientific Corporation Method of identifying a gas
US6182497B1 (en) 1999-08-20 2001-02-06 Neodym Systems Inc Gas detection system and method
US6411207B2 (en) * 1999-10-01 2002-06-25 Avaya Technology Corp. Personal alert device
US20020009195A1 (en) 1999-10-26 2002-01-24 Telefonaktiebolaget Lm Ericsson Holder for mobile telephones
US20020008625A1 (en) * 2000-02-29 2002-01-24 Adams Jonathan D. Remote accountability system and method
US6338266B1 (en) 2000-04-05 2002-01-15 Industrial Scientific Corporation Method of identifying a gas and associated apparatus
US6442639B1 (en) 2000-04-19 2002-08-27 Industrial Scientific Corporation Docking station for environmental monitoring instruments
JP3579868B2 (en) 2000-05-30 2004-10-20 株式会社山武 Sensor device, setting device, readout device, and article management system
US6428684B1 (en) 2000-08-02 2002-08-06 Industrial Scientific Corporation Method and apparatus for diagnosing the condition of a gas sensor
US6753766B2 (en) * 2001-01-15 2004-06-22 1138037 Ontario Ltd. (“Alirt”) Detecting device and method of using same
US6644098B2 (en) 2001-01-18 2003-11-11 Advanced Test Products, Inc. Heated electrode refrigerant detector utilizing one or more control loop
US7041256B2 (en) 2001-01-30 2006-05-09 Industrial Scientific Corporation Poison resistant combustible gas sensors and method for warning of poisoning
US6447659B1 (en) 2001-02-23 2002-09-10 Industrial Scientific Corporation Intrinsic shorting link for gas sensors
GB0104777D0 (en) 2001-02-27 2001-04-18 Bw Technologies Ltd Improvements in or relating to toxic gas monitoring systems
GB2374419B (en) 2001-03-09 2004-12-29 Zellweger Analytics Ltd Electrochemical gas sensor
US6703840B2 (en) 2001-04-19 2004-03-09 Advanced Test Products, Inc. Methods and apparatuses for automatic process control for biasing and testing heated electrode refrigerant sensors
US6649876B2 (en) 2001-04-19 2003-11-18 Advanced Test Products, Inc. Methods and apparatuses for automatic process control for firing and biasing heated electrode refrigerant sensors
JP2002344602A (en) 2001-05-22 2002-11-29 Mitsubishi Electric Corp Portable device
US6402933B1 (en) 2001-06-08 2002-06-11 Applied Semiconductor, Inc. Method and system of preventing corrosion of conductive structures
GB2376527B (en) * 2001-06-16 2004-12-15 Westerngeco Ltd A method of processing data
US6629444B2 (en) 2001-08-08 2003-10-07 Industrial Scientific Corporation Method and apparatus for diagnosing gas sensors
US7233781B2 (en) 2001-10-10 2007-06-19 Ochoa Optics Llc System and method for emergency notification content delivery
US6908537B2 (en) 2001-10-22 2005-06-21 Perkinelmer Instruments Llc Electrochemical sensors having nonporous working electrode
US7502817B2 (en) 2001-10-26 2009-03-10 Qualcomm Incorporated Method and apparatus for partitioning memory in a telecommunication device
US6822573B2 (en) 2002-01-18 2004-11-23 Intelligent Mechatronic Systems Inc. Drowsiness detection system
US6679094B2 (en) 2002-02-08 2004-01-20 Industrial Scientific Corporation Calibration adapter for gas detection instrument
US6742382B2 (en) 2002-02-28 2004-06-01 Industrial Scientific Corporation Combustible gas detector and method for its operation
US20030180445A1 (en) 2002-03-21 2003-09-25 Industrial Scientific Corporation Method for forming a catalytic bead sensor
US6879574B2 (en) 2002-06-24 2005-04-12 Nokia Corporation Mobile mesh Ad-Hoc networking
US8085144B2 (en) 2002-07-02 2011-12-27 Mine Safety Appliances Company Equipment and method for identifying, monitoring and evaluating equipment, environmental and physiological conditions
WO2004017423A2 (en) * 2002-07-31 2004-02-26 Infineon Technologies Ag Sensor arrangement
US6666963B1 (en) 2002-08-14 2003-12-23 Industrial Scientific Corporation Oxygen sensor
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
US6888467B2 (en) 2002-12-10 2005-05-03 Industrial Scientific Corporation Gas detection instrument and method for its operation
US7109859B2 (en) * 2002-12-23 2006-09-19 Gentag, Inc. Method and apparatus for wide area surveillance of a terrorist or personal threat
US6987459B2 (en) * 2003-01-24 2006-01-17 Honeywell International, Inc. Portable combustible gas detector
US6997347B2 (en) 2003-07-02 2006-02-14 Industrial Scientific Corporation Apparatus and method for generating calibration gas
US7917673B2 (en) 2003-09-20 2011-03-29 Samsung Electronics Co., Ltd. Communication device and method having a shared local memory
US20050083194A1 (en) 2003-10-20 2005-04-21 Yuan-Yao Shen Wireless vital signs transmission device in a physiological detector
US7463142B2 (en) 2003-12-30 2008-12-09 Kimberly-Clark Worldwide, Inc. RFID system and method for tracking environmental data
KR100648311B1 (en) 2004-04-28 2006-11-23 삼성전자주식회사 Method for reservation conflict avoidance and resoluction of time slots in wireless network
US7508840B2 (en) 2004-05-28 2009-03-24 Bae Systems Information And Electronic Systems Integration Inc. Mobile temporary incident area network for local communications interoperability
US7697893B2 (en) 2004-06-18 2010-04-13 Nokia Corporation Techniques for ad-hoc mesh networking
CA2581707A1 (en) * 2004-09-27 2006-04-06 Terrance Madden System for monitoring quality of water system
US7275411B2 (en) 2004-10-19 2007-10-02 Industrial Scientific Corporation Apparatus and method for testing gas detection instruments
US7281404B2 (en) 2004-10-19 2007-10-16 Industrial Scientific Corporation Apparatus and method for testing gas detection instruments
GB2423400A (en) * 2005-02-22 2006-08-23 Thorn Security Detector with variable sensitivity in different modes of operation
US7346469B2 (en) * 2005-03-31 2008-03-18 General Electric Company System and method for sensor data validation
DE102005022471B4 (en) 2005-05-14 2007-06-28 Dräger Safety AG & Co. KGaA Circuit arrangement with at least one designed as a pellistor catalytic measuring element
US7534333B2 (en) 2005-05-26 2009-05-19 City Technology Limited Electrochemical gas sensor
US7548184B2 (en) * 2005-06-13 2009-06-16 Raytheon Company Methods and apparatus for processing data from multiple sources
US7657255B2 (en) 2005-06-23 2010-02-02 Microsoft Corporation Provisioning of wireless connectivity for devices using NFC
US20070000310A1 (en) 2005-06-29 2007-01-04 Varian, Inc. Leak detection system with wireless remote unit
US7471200B2 (en) 2005-06-30 2008-12-30 Nokia Corporation RFID optimized capability negotiation
WO2007010795A1 (en) 2005-07-19 2007-01-25 Omron Corporation Safety management system for worker
US20080058614A1 (en) 2005-09-20 2008-03-06 Triage Wireless, Inc. Wireless, internet-based system for measuring vital signs from a plurality of patients in a hospital or medical clinic
US7484668B1 (en) * 2005-10-03 2009-02-03 Building Protection Systems, Inc. Building protection system and method
US7664607B2 (en) 2005-10-04 2010-02-16 Teledyne Technologies Incorporated Pre-calibrated gas sensor
US7378954B2 (en) * 2005-10-21 2008-05-27 Barry Myron Wendt Safety indicator and method
US20070171042A1 (en) 2005-12-22 2007-07-26 Petru Metes Tactical surveillance and threat detection system
JP4970001B2 (en) 2005-12-22 2012-07-04 新日本製鐵株式会社 Portable gas detector
US7895309B2 (en) 2006-01-11 2011-02-22 Microsoft Corporation Network event notification and delivery
US7778431B2 (en) 2006-03-24 2010-08-17 Sony Ericsson Mobile Communications, Ab Sound enhancing stands for portable audio devices
US7613156B2 (en) 2006-06-08 2009-11-03 Motorola, Inc. Method for energy efficient prospective peer discovery in an ad hoc network
US8294568B2 (en) 2006-07-10 2012-10-23 Venture Corporation Limited Wireless mine tracking, monitoring, and rescue communications system
JP4933192B2 (en) 2006-08-09 2012-05-16 キヤノン株式会社 Combustible gas detector and fuel cell system equipped with combustible gas detector
US7948380B2 (en) * 2006-09-06 2011-05-24 3M Innovative Properties Company Spatially distributed remote sensor
US20080094210A1 (en) * 2006-10-17 2008-04-24 Massachusetts Institute Of Technology Platform for Ubiquitous Sensor Deployment in Occupational and Domestic Environments
US7688198B2 (en) * 2006-11-29 2010-03-30 Honeywell International Inc. Apparatus and method for monitoring hazardous materials in a processing or other environment
US7880607B2 (en) * 2006-12-15 2011-02-01 Motorola, Inc. Intelligent risk management system for first responders
JP5336042B2 (en) * 2006-12-18 2013-11-06 オークマ株式会社 Anomaly detection method of temperature sensor in machine tool
US8358214B2 (en) 2007-02-02 2013-01-22 Hartford Fire Insurance Company Systems and methods for sensor-enhanced health evaluation
US8638228B2 (en) 2007-02-02 2014-01-28 Hartford Fire Insurance Company Systems and methods for sensor-enhanced recovery evaluation
US8149126B2 (en) 2007-02-02 2012-04-03 Hartford Fire Insurance Company Lift monitoring system and method
US9563919B2 (en) 2007-02-02 2017-02-07 Hartford Fire Insurance Company Safety evaluation and feedback system and method
US20080320030A1 (en) 2007-02-16 2008-12-25 Stivoric John M Lifeotype markup language
US8098842B2 (en) * 2007-03-29 2012-01-17 Microsoft Corp. Enhanced beamforming for arrays of directional microphones
US8180075B2 (en) 2007-04-26 2012-05-15 Motorola Mobility, Inc. Arrangement for variable bass reflex cavities
US7970871B2 (en) 2007-05-02 2011-06-28 Synapse Wireless, Inc. Systems and methods for dynamically configuring node behavior in a sensor network
US8385322B2 (en) 2007-07-30 2013-02-26 Innovative Wireless Technologies, Inc. Distributed ad hoc network protocol using synchronous shared beacon signaling
US20090089108A1 (en) 2007-09-27 2009-04-02 Robert Lee Angell Method and apparatus for automatically identifying potentially unsafe work conditions to predict and prevent the occurrence of workplace accidents
US8818397B2 (en) 2007-11-01 2014-08-26 On Track Technologies Incorporated Intelligent heterogeneous, mobile, Ad-Hoc communication network
US9665910B2 (en) 2008-02-20 2017-05-30 Hartford Fire Insurance Company System and method for providing customized safety feedback
CN102016627A (en) 2008-03-26 2011-04-13 科学与工业研究委员会 A wireless information and safety system for mines
US7688802B2 (en) 2008-05-23 2010-03-30 Honeywell International Inc. System and method for time synchronization in a wireless network
NO329285B1 (en) 2008-05-30 2010-09-27 Forsvarets Forsknings Message exchange system and device
US8657487B2 (en) * 2008-06-11 2014-02-25 Utah State University Research Foundation Mini-cell, on-orbit, temperature re-calibration apparatus and method
US20100072334A1 (en) 2008-09-09 2010-03-25 Zero Chroma, LLC Holder for Electronic Device with Support
US8392606B2 (en) 2008-09-23 2013-03-05 Synapse Wireless, Inc. Wireless networks and methods using multiple valid network identifiers
US8462707B2 (en) 2008-10-01 2013-06-11 Digi International Inc. Joining a mesh network in a multiple network environment
KR100975087B1 (en) * 2008-10-07 2010-08-11 성균관대학교산학협력단 Method of sensor network localization using radiation pattern reconstruction
US7978717B2 (en) 2008-10-16 2011-07-12 Synapse Wireless, Inc. Systems and methods for reducing power consumption in communication networks
US8174557B2 (en) * 2008-12-02 2012-05-08 Adaptive Methods, Inc. Deployable sensor device, sensor system, and method of collecting environmental information
EP2205029A1 (en) 2009-01-06 2010-07-07 Thomson Licensing A method for scheduling wake/sleep cycles by a central device in a wireless network
GB0900254D0 (en) 2009-01-08 2009-02-11 Life Safety Distribution Ag Electrochemical gas sensor
US8086285B2 (en) 2009-02-17 2011-12-27 Tjm Innovations, Llc Carrying cases having sound enhancing capability, for portable communication devices
US8294580B2 (en) 2009-07-07 2012-10-23 Honeywell International Inc. System and method of monitoring personal protective equipment
US8330605B2 (en) 2009-08-14 2012-12-11 Accenture Global Services Limited System for providing real time locating and gas exposure monitoring
CN201503428U (en) * 2009-08-25 2010-06-09 胜利油田胜利动力机械集团有限公司 Handheld harmful gas detector
US9792808B2 (en) 2009-11-19 2017-10-17 Honeywell International Inc. Alert system with zoning using wireless portable detectors and a central station
US9978251B2 (en) 2009-12-28 2018-05-22 Honeywell International Inc. Wireless location-based system and method for detecting hazardous and non-hazardous conditions
US8442801B2 (en) 2009-12-28 2013-05-14 Honeywell International Inc. Wireless location-based system for detecting hazardous conditions
US8547888B2 (en) 2010-01-29 2013-10-01 Digi International Inc. Mesh network node service in a sleeping mesh network
US8224246B2 (en) 2010-05-10 2012-07-17 Nokia Corporation Device to device connection setup using near-field communication
IT1400064B1 (en) 2010-05-14 2013-05-17 Advanced Microwave Engineering S R L INTEGRATED AND MODULAR ACTIVE SECURITY SYSTEM BASED ON RFID ACTIVE DOUBLE FREQUENCY DEVICES
AU2015261602B2 (en) 2010-06-25 2017-09-07 Industrial Scientific Corporation A multi-sense environmental monitoring device and method
US9000910B2 (en) 2010-06-25 2015-04-07 Industrial Scientific Corporation Multi-sense environmental monitoring device and method
US8771490B2 (en) 2010-07-26 2014-07-08 Industrial Scientific Corporation Electrochemical sensor
US8585606B2 (en) 2010-09-23 2013-11-19 QinetiQ North America, Inc. Physiological status monitoring system
US20120150755A1 (en) 2010-12-10 2012-06-14 Honeywell International Inc. System and Method of Providing Compliance and Alerting of Toxic Gas Exposure for Health Monitoring and Plant Maintenance
US8665097B2 (en) 2011-05-10 2014-03-04 Honeywell International Inc. System and method of worker fall detection and remote alarm notification
US9380978B2 (en) 2011-06-29 2016-07-05 Bruce Reiner Method and apparatus for real-time measurement and analysis of occupational stress and fatigue and performance outcome predictions
CN102426764B (en) 2011-09-01 2013-11-27 哈尔滨东方报警设备开发有限公司 Real-time condition wireless alarm system in industrial field
US20130253809A1 (en) 2012-03-26 2013-09-26 International Business Machines Corporation Collaborative near-miss accident reporting
US20130278412A1 (en) 2012-04-20 2013-10-24 Detcon, Inc. Networked system and methods for detection of hazardous conditions
WO2014055147A2 (en) 2012-10-02 2014-04-10 Industrial Scientific Corporation Alarm enhancing protective cover for safety instruments with optional calibration chamber
US20140210639A1 (en) 2013-01-29 2014-07-31 James Skourlis Central alarm (ca) unit in a gas monitoring system including gas sensors and gas sensor controllers
US20180082565A1 (en) 2013-01-31 2018-03-22 Precyse Technologies, Inc. Method of controlling location monitoring and reporting
EP2768269B1 (en) 2013-02-15 2019-03-13 Fujitsu Limited Automatic ad-hoc network of mobile devices
US9661453B2 (en) 2013-03-16 2017-05-23 Fairwayiq, Inc. Intelligent golf course
US20140310349A1 (en) 2013-04-12 2014-10-16 Nokia Corporation Method and apparatus for establishing relationships among devices and users
ITAN20130095A1 (en) 2013-05-17 2014-11-17 Safe Way S R L METHOD FOR THE PREVENTION OF ACCIDENTS AND ACCIDENTS AND ITS RELEVANT IMPLEMENTING SYSTEM
US10433141B2 (en) 2013-06-07 2019-10-01 Strata Products Worldwide, Llc Communication system in a mine, a node, and method
US10089848B2 (en) 2013-06-07 2018-10-02 Strata Products Worldwide, Llc Gas monitor, system and method sensing two different gases
US20150145649A1 (en) 2013-06-07 2015-05-28 Strata Products Worldwide, Llc Gas Monitor, System and Method
US20150025917A1 (en) 2013-07-15 2015-01-22 Advanced Insurance Products & Services, Inc. System and method for determining an underwriting risk, risk score, or price of insurance using cognitive information
US9547972B2 (en) 2013-12-10 2017-01-17 Sal Castillo Methods and systems for emergency alerts
WO2016005805A1 (en) 2014-07-06 2016-01-14 Universal Site Monitoring Unit Trust Personal hazard detection system with redundant position registration and communication
KR101575983B1 (en) 2014-10-15 2015-12-09 주식회사 세중아이에스 Safety management intellectual and integral control system, server and method
CN107004057A (en) 2014-12-03 2017-08-01 霍尼韦尔国际公司 Secure communication device --- vital sign and poison gas parameter are converged in smart phone application to strengthen security monitoring
EP3228068A1 (en) 2014-12-03 2017-10-11 Honeywell International Inc. Method to determine gas information and location of an operator carrying wireless gas detector during gas/mandown/panic events on communication failure with monitoring station
CN107110746A (en) 2015-01-16 2017-08-29 工业科技有限公司 Modular gas monitoring system
US10156552B2 (en) 2015-05-13 2018-12-18 Honeywell International Inc. Method to auto-configure gas detectors based on real-time location
US9195866B1 (en) 2015-06-10 2015-11-24 Parachute Systems, Inc. Systems and methods for tracking subjects
US9743221B2 (en) 2015-08-12 2017-08-22 Honeywell International Inc. User association with passive tags
US10593164B2 (en) 2015-11-09 2020-03-17 Honeywell International Inc. Aggregate monitor data in real-time by worker
US10088550B2 (en) 2016-02-17 2018-10-02 Honeywell International Inc. Set a gas detector's location automatically using short range radio
WO2017184702A1 (en) 2016-04-19 2017-10-26 Industrial Scientific Corporation Worker safety system
US10533965B2 (en) 2016-04-19 2020-01-14 Industrial Scientific Corporation Combustible gas sensing element with cantilever support
CA3034811C (en) 2016-09-08 2023-07-25 Industrial Scientific Corporation Combustible gas sensing element with cantilever support
EP3596714A4 (en) 2017-03-15 2020-12-02 Honeywell International Inc. Safety card based on wireless mesh network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030067393A1 (en) * 2001-10-05 2003-04-10 Albro Thomas G. Method and apparatus for the collection of near real time confirmation samples
WO2008111755A1 (en) * 2007-03-09 2008-09-18 Hyundai Heavy Industries Co., Ltd. Method of detecting gas in gas leakage risk area around gas storage system

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